基于弹丸定位精度分析的传感器布局优化方法
Sensor-Layout Optimization Method Based on a Projectile Positioning Accuracy Analysis
徐宏 1谢逸林 2高卿粟 3陈晓雷1
作者信息
- 1. 郑州轻工业大学 电子信息学院,河南 郑州 450002
- 2. 郑州轻工业大学 计算机科学与技术学院,河南 郑州 450002
- 3. 解放军 95174 部队,河南 郑州 450002
- 折叠
摘要
能否快速准确地对超声速弹丸在靶面上的弹着点进行定位,是影响智能报靶系统性能的核心因素.在通过建立弹丸入射模型获取弹丸入射点的过程中,传感器的布局形式对弹丸入射精度的求解至关重要.针对如何选取最佳的传感器布局方法,该文提出使用几何精度因子(GDOP)精度分析与优化算法相结合的弹丸入射精度分析方法,通过计算高精度下弹丸入射精度等号线的面积,在特定范围内寻找最佳的传感器布局形式.基于弹丸入射精度分析法进行多组理论可行性仿真实验,实际情况下进行有限入射范围仿真实验及拓展实验等,最后得出基于高精度弹丸入射定位中传感器布局的基本规律.通过多组实验验证可得,该文提出的弹丸定位精度分析法可有效地选取高精度的传感器布局方式,且最优的传感器布局均符合高精度传感器布局的基本规律.
Abstract
The rapid and accurate localization of impact points of supersonic projectiles on a target surface is a crucial factor influencing the performance of intelligent target-reporting systems.When obtaining projectile impact points by establishing an impact model,the sensor layout plays a vital role in determining the accuracy of the projec-tile impacts.In addressing the selection of the optimal sensor-layout method,this study proposes a projectile-im-pact-accuracy analysis method that combines a geometric dilution of precision analysis with optimization algorithms.This is achieved by calculating the area of iso-lines representing high-precision projectile impact points and searching for the optimal sensor layout within a specific range.The proposed method is validated through multiple sets of the-oretical feasibility simulations,simulations with limited impact ranges under real conditions,and extended experi-ments.Results from these experiments reveal the fundamental principles governing sensor layouts for high-precision projectile impact localization.The effectiveness of the proposed projectile-localization accuracy analysis method is demonstrated by the successful selection of high-precision sensor layouts,with the identified optimal sensor layouts aligning with the fundamental principles of high-precision sensor deployment.
关键词
弹丸入射定位/几何精度因子(GDOP)/优化算法/传感器布局/激波Key words
projectile incident positioning/geometric dilution of precision/optimization algorithm/sensor lay-out/shockwave引用本文复制引用
基金项目
郑州市重大科技创新专项(2019CXZX0042)
出版年
2024
NETL
NSTL
万方数据